block design
Block design is a statistical method used in experimental research to control for variability among experimental units. It involves grouping similar units into blocks, ensuring that each treatment is applied within each block. This helps to reduce the impact of confounding variables, leading to more accurate results.
In a block design, each treatment is randomly assigned to units within each block. This approach is commonly used in agricultural experiments, clinical trials, and other fields where controlled comparisons are essential. By organizing data in this way, researchers can better understand the effects of different treatments while minimizing external influences.